主管:中国科学院
主办:中国优选法统筹法与经济数学研究会
   中国科学院科技战略咨询研究院
论文

工业用水系统效率评价:考虑污染物可处理特性的两阶段DEA

展开
  • 1. 上海大学悉尼工商学院, 上海 201899;
    2. 安徽大学商学院, 安徽 合肥 230601

收稿日期: 2014-01-16

  修回日期: 2014-11-12

  网络出版日期: 2016-03-18

基金资助

国家自然科学基金资助项目(71101085,71371010)

Industrial Water Use System Efficiency Evaluation: A Two-stage DEA Model Considering Pollutants Disposability

Expand
  • 1. SHU-UTS Business School, Shanghai University, Shanghai 201899, China;
    2. School of Business, Anhui University, Hefei 230601, China

Received date: 2014-01-16

  Revised date: 2014-11-12

  Online published: 2016-03-18

摘要

提高水资源使用效率和污水处理效率是解决目前水资源短缺的重要途径。中国工业用水系统可分为生产用水子系统和污水处理子系统。本文考虑两个子系统之间的联系,并区分污染物在两个子系统中的弱处理和强处理特性,提出了一种基于DEA的两阶段评价模型。应用本文提出的新模型分析中国30个省级区域的工业用水系统的效率,结果表明: 中国省级区域工业用水整体效率不高,且地域分布特征明显,东部、西部、中部效率依次递减; 中国工业用水系统的非有效性主要源于污水处理效率的影响;工业用水系统效率与地区水资源禀赋存在一定的关系,水资源短缺的地区用水效率相对较高。文章所提出的方法兼顾生产用水子系统和污水处理子系统之间的相互影响,能够同时评价两个子系统效率和工业用水系统的整体效率,能有效发现系统中影响整体效率的关键环节,且可以应用于其他能源效率评价问题,具有明显的实际应用价值。

本文引用格式

王有森, 许皓, 卞亦文 . 工业用水系统效率评价:考虑污染物可处理特性的两阶段DEA[J]. 中国管理科学, 2016 , 24(3) : 169 -176 . DOI: 10.16381/j.cnki.issn1003-207x.2016.03.020

Abstract

Water use performance and wastewater decontamination performance improvement is an effective way to alleviate water shortage. Industrial production system in China can be divided into production water use sub-system and wastewater decontamination sub-system. By considering the linkages between the two sub-systems and the disposability of pollutants in different sub-systems, a new two-stage network DEA model is proposed to evaluate the performance of china's industrial water use systems. The proposed model is applied to evaluate the performance of 30 regional industrial water use systems of China. The application results show that the overall efficiency of regional water use systems is relatively low in China and the inefficiency is largely driven by wastewater decontamination performance. There exist significant regional disparities in water use efficiencies of regions and areas. In particular, evident relationships between water use efficiency and water resource endowment, and a region may achieve a high efficiency score with relatively lower resource endowment, and vice versa. The proposed model can simultaneously evaluate the efficiencies of the whole industrial water use system and its two sub-systems, and it can identify the key factors that affect the performance of industrial water use systems. The proposed model can also be applied to evaluate regional energy efficiencies. All these show the great practical value of the proposed model.

参考文献

[1] Marlow R. Agriculture water use efficiency in the United States[C]//Proceedings of In:Presented at the U.S./China Water Resources Management Conference. Tucson, Arizona,1999.

[2] Mo X, Liu S, Lin Z, et al. Prediction of crop yield, water consumption and water use efficiency with an SVAT-crop growth model using remotely sensed data on the North China Plain[J]. Ecological Modelling, 2005;183:301-22.

[3] Huang Yilong, Chen Liding, Fu Bojie, et al. The wheat yields and water-use efficiency in the Loess Plateau:Straw mulch and irrigation effects[J].Agricultural Water Management, 2005, 72(3):209-22.

[4] Hu Jinli, Wang S C, Yeh F Y. Total-factor water efficiency of regions in China[J]. Resource Policy, 2006, 31(4):217-30.

[5] 刘渝, 杜江, 张俊飚. 湖北省农业水资源利用效率评价[J]. 中国人口·资源与环境, 2007, 17(6):60-65.

[6] 廖虎昌, 董毅明. 基于DEA和Malmquist指数的西部12省水资源利用效率研究[J]. 资源科学, 2011, 33(2):273-279.

[7] 岳立, 赵海涛. 环境约束下的中国工业用水效率研究-基于中国13个典型工业省区2003年-2009年数据[J]. 资源科学, 2011, 33(11):2071-2079.

[8] 马海良, 黄德春, 张继国. 考虑非合意产出的水资源利用效率及影响因素研究[J].中国人口·资源与环境,2012, 22(10):35-42.

[9] 卞亦文. 非合作博弈两阶段生产系统的环境效率评价[J]. 管理科学学报, 2012, 17(7), 11-18.

[10] Bian Yiwen, Yan Shuai, Xu Hao. Efficiency evaluation for regional urban water use and wastewater decontamination systems in China:A DEA approach[J]. Resources, Conservation and Recycling, 2014,83(2):15-23.

[11] Färe R, Primont D. Multi-output production and duality:Theory and applications[M]. Boston:Kluwer Academic Publishers, 1995.

[12] Färe R, Grosskopf S. Modeling undesirable factors in efficiency evaluation:Comment[J]. European Journal of Operational Research, 2004, 157(1):242-5.

[13] Färe R, Grosskopf S,Whittaker G. Network DEA.[M]//Zhu J,Cook WD.Modeling data irregularities and structural complexities in data envelopment analysis.US:Springer,2007:209-240.

[14] 毕功兵,梁樑,杨锋.两阶段生产系统的DEA效率评价模型[J].中国管理科学,2007,15(2):92-96.

[15] Liang Liang, Yang Feng, Cook WD, et al. DEA models for supply chain efficiency evaluation[J]. Annals of Operations Research, 2006, 145(1):35-49.

[16] 王赫,张屹山.两阶段DEA前沿面投影问题研究——兼对我国上市银行运营绩效进行评价[J]. 中国管理科学,2012,20(2):114-120.

[17] Färe R, Grosskopf S, Pasurka CA. Environmental production functions and environmental directional distance functions[J]. Energy, 2007, 32(7):1055-66.

[18] Tone K, Tsutsui M. Dynamic DEA with network structure:A slacks-based measure approach[J].Omega, 2014, 42(1):124-131.

[19] Cook W D, Liang Liang, Zhu J. Measuring performance of two-stage network structures by DEA:A review and future perspective[J]. Omega, 2010, 38(6):423-430.

[20] Bian Yiwen, Yang Feng. Resource and environment efficiency analysis of provinces in China:a DEA approach based on Shannon's entropy[J]. Energy Policy,2010; 38(4):1909-17.
文章导航

/